Founding Engineer @ Rainbow 🌈

About Us The pain is universal: finance teams stitch together spreadsheets and dashboards just to answer basic questions about their cash flow. They feel constantly behind, reactive instead of in control. By the time their systems tell them what happened, it's too late to optimize.

This is bad for operators managing treasury today, directly hits the bottom line—costs companies millions in lost yield and higher borrowing costs. But it's wide open for AI-native contenders.

Rainbow is building an AI-powered treasury system of action for global companies that turns forecasts into execution with the intelligence and reliability that modern finance demands. We're backed by Bessemer Venture Partners, Vertex Ventures, Hanaco Ventures, and leading angels in fintech. We work with companies from private mid-market to public enterprises.

The Inevitable Future: Every company becomes financially intelligent. We're building the foundations for that transformation now.

The Role Join Rainbow as a founding engineer who works both with customers and on the product. You'll alternate between being embedded with customer teams to understand their needs and working with our core engineering team to advance the platform.

What You'll Do:

• Design and build AI-powered treasury automation systems from scratch
• Work directly with enterprise customers to understand their workflows and implement solutions
• Develop APIs, data pipelines, and AI models that handle critical financial operations
• Lead technical decisions across our full stack (backend, AI/ML, data infrastructure)
• Take ownership of complex projects from concept to production deployment

We Need Someone Who:

• Has a strong record of end-to-end product development and builder's hunger
• Is comfortable with modern development practices (Python, cloud infrastructure, APIs)
• Has experience with AI/ML systems, LLMs, or automation workflows
• Can work directly with customers in enterprise environments
• Takes high ownership and can push through complex technical challenges

Bonus: Experience building AI agents in production

This isn't just writing code—it's living in the problem space, serving customers directly, and using those insights to build a better product.